Abstract:

A major contributing factor to staffing shortages and overcrowding in tertiary hospitals is the scarcity of available hospital beds. This not only poses a challenge for some tertiary healthcare facilities in terms of accommodating inpatient beds, but it also creates a deficit of qualified medical personnel such as doctors and nurses who are unable to provide care to more patients than the hospital can manage. The COVID-19 pandemic has caused significant concern among-est healthcare professionals and the general public alike. One of the most significant challenges faced by many countries during the pandemic is a shortage of medical resources. While the number of patients has increased significantly, hospitals must send them to emergency care as quickly as possible. Consequently, the demand for ambulances has also grown. Today, many ambulance services cater to anonymous users, and in some situations, locating the nearest ambulance becomes extremely challenging. We have developed a piecewise model that illustrates the impact of the shortage of hospital beds during an emergency outbreak. By utilizing Google Map API, patients can identify the nearest hospital and available resources such as open beds and specialists with specific expertise. The program's server, which utilizes PHP and SQL databases, is designed as a client-server model. Technology can be incorporated into ambulance services to assist people in locating hospitals quickly, particularly in emergencies.

Description:

Forecasting Bed Availability, Patients, Hospitals, Google Maps API, Ambulance